Learn how to define metrics with the dbt Semantic Layer and query the dbt Semantic Layer in downstream tools to optimize governance and productivity for your data and business teams. (approximately 2.5 hours)
Learn with the analytics engineers of dbt Labs how to migrate legacy transformation code into modular dbt data models. Useful if you're porting stored procedures or SQL scripts into your dbt project. (approximately 3.5 hours)
Learn more about the theory of data testing and the practice of creating custom generic tests, leveraging tests in packages, and applying test configurations. (approximately 4 hours).
Learn how to deploy your dbt Cloud project with advanced functionality including continuous integration, orchestrating conflicting jobs, and customizing behavior by environment. (approximately 4 hours)